Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing.

This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids

Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications.

Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.

Product Description

From the Back Cover

Now — the hottest algorithms for specialized image processing are right in your hands

With this accessible cookbook of algorithms, you'll gain access to the most wanted image-processing applications, including morphology, image restoration, and symbol recognition. Throughout these pages, you'll find real-life examples that clearly describe the latest techniques, saving you hours of lengthy mathematical calculations. And all code is also included on the website, so you can experiment with your own ideas and algorithms for organizing and searching image data sets.

This updated edition provides practical solutions so you can:

Program state-of-the-art image-processing capabilities into software

Find the steps for taking advantage of classifiers

Apply 2D vision methods in content-based searches

Perform edge detection, thinning, thresholding, and morphology

Link all the computers on your network into a large image-processing cluster

Program the GPU to do image-processing and vision tasks

Select the best method for searching through images

Visit the companion website at www.wiley.com/go/jrparker to access all code used in this book.

About the Author

J. R. Parker is a full professor working in the Art department at the University of Calgary. His major research projects include live performance in online virtual spaces, the design and construction of kinetic games, and the portrayal of Canadian history and culture in digital and online form.

Customer Reviews

Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com:
5 reviews

3 of 3 people found the following review helpful

Clear and simple explanationsMay 16 2013

By
Gaussian
- Published on Amazon.com

Format: Paperback

Of all the computer vision books I have encountered, AIPCV does the best job of explaining concepts clearly and engagingly without sacrificing rigor. Readers don't have to suffer deciphering super concise math notations and the author does a great job of showing how to actually implement these algorithms. Take any computer vision concept like Canny Edge Detector and compare it with other CV books to see what I mean. I only wish the book used OpenCV 2.x instead of 1.x but that's just bad timing. Moreover, to my knowledge, there aren't any comprehensive CV books out there that have OpenCV 2.x examples.

2 of 2 people found the following review helpful

Great Stuff Ready to ApplyNov. 25 2012

By
J. Schneider
- Published on Amazon.com

Format: Paperback
Verified Purchase

This book is great; the author does a magnificent job presenting often complex algorithms with just the right amount of discussion to make the ensuing algorithm easy to understand. He does it again and again, but in particular I enjoyed the treatment of symbol recognition followed immediately by a chapter on OCR as an application thereof.

Highly recommended.

Very good for beginnersNov. 24 2014

By
evan o'keeffe
- Published on Amazon.com

Format: Kindle Edition
Verified Purchase

Fantastic book for getting into image processingSource code could do with some updating but all in all easy enough to read andunderstand.

I only started Image processing recently, so I can only talk for entry level informationfrom the book

4 of 12 people found the following review helpful

Good Comprehensive BookMay 27 2011

By
Gift Card Recipient
- Published on Amazon.com

Format: Paperback
Verified Purchase

I used this book for my OCR project. It is well written and easy to read. Overall, I recommend the book for anyone who wants to get comprehensive introduction to computer vision algorithms.

3 of 16 people found the following review helpful

Not worth money and timeJan. 7 2014

By
New to Computer Vision but serious
- Published on Amazon.com

Format: Paperback
Verified Purchase

I didn't read the whole thing because it would take me forever and ever effort to understand the contents. I read chap3. morphology. The examples are almost impossible to understand. Their coordinates doesn't make sense (or just simply wrong), and C source codes are cryptic. The variables are like i, j, oi, oj, nc, nr, is, js, etc.If someone already understands the image processing well, they may understand them but not I. I would return the book if I hadn't spill my coffee on it accidently. Oh well. I am giving 2 stars because some introductory part (chap1) was actually helpful.